Welcome to the School of Computer Science and Technology |

Faculty & Staff

  • Academician
  • Full-time Staff
  • Bi-base Staff
  • Distinguished Professor
  • Guest Professor
  • Post-Doctoral

张春慨的简历

更新时间:2019年03月12日 13:08:40访问次数:

研究方向

 

研究方向为流数据挖掘、网络信息安全和物联网技术及其应用等

 

教育经历

 

1998-2001  获工学博士学位,上海交通大学

 

 

研究与工作经历

 

1998.5 - 1998.10  工程师,深圳华为通讯有限公司

2002.1 - 2004.9  讲师,上海交通大学电信学院

2004.10 - 2006.10  博士后,哈工大深圳研究生院

2006.12 - 至今  副教授,哈工大深圳研究生院计算机科学与技术学院

 

专业资质与学术兼职

 

2013-2014  副主席, 中国计算机学会YOCSEF深圳

2017-2018  秘书长, 中国计算机学会深圳分会

 

科研项目

 

2017.1 - 2019.11 主持,国家重点研发计划:网络空间安全重点专项“XXX支撑平台系统

2018.8 - 2020.8  主持,深圳市重点技术攻关项目:地下管网巡检机器人及调度系统研发

2019.1 - 2021.1  主持,深圳市国际合作项目:基于机器学习的无机无铅钙钛矿材料的设计及光伏性能研究

2017.8 - 2019.8  主持,深圳市基础研究:基于安全多方计算的隐私保护时间序列异常检测

2015.10 - 2018.2  主要参加,国家863计划:云计算环境下基于密文数据处理的用户信息安全关键技术研究

2013.5 - 2015.12  主要参加,深圳市新一代信息技术产业发展专项资金:物联网关键技术及应用系统集成工程实验室

2016.11 - 2018.11 主持,隐私保护在智慧健康管理中的应用

2012.6 - 2013.1  主持,基础健康数据智能分析算法及在移动终端呈现应用

2010.10 - 2012.10  主要参加,深圳市重点实验室提升计划:物联网若干关键技术的研究

 

科研成果及奖励

2017年度中国人工智能学会优秀青年成果奖

2016年第二届全国青年人工智能创新创业大会三等奖

 

发明专利

神经网络建模方法,专利号:ZL 2003 1 0108052.2

换热网络智能优化设计方法,专利号:ZL 2003 1 0122790.2


软件著作权:

1)无线射频系统中间件软件,登记号:2010SR004682

2)无线射频识别技术中数据清洗软件,2011SR082834

3)嵌入式健康信息中间件软件,2011SR083396.

4)安防信息系统中间件软件,2011SR082805.

5)健康信息管理系统软件, 2012SR072185

6)健康信息档案自助建立与管理软件, 2012SR072744

7)医疗健康智能分析软件, 2012SR072202

8) 精准健康计划助手软件, 2014SR011794

9) 基于案例推理的医疗健康决策分析软件, 2014SR011391

10) 健康分析系统维护平台软件, 2014SR011303


论文及著作

著作:

Trends in Neural Computation Series: Studies in Computational Intelligencechapter 12Springer Verlag, Germany2007.


论文

1) Fast Eclat algorithms based on minwise hashing for large-scale transactions, IEEE Internet of Things Journal, DOI:10.1109/JIOT.2018.2885851, 2018(SCI JCR一区, IF: 5.874)

2) Research on classification method of high-dimensional class-imbalanced datasets based on SVM, International Journal of Machine Learning and Cybernetics, DOI:10.1007/s13042-018-0853-2, 2018(SCI JCR 二区,IF: 2.692)

3) Qiao Liu, Xiaohuan Lu, Zhenyu He, Chunkai Zhang*, Wen-Sheng Chen,Deep Convolutional Neural Networks for Thermal Infrared Object Tracking, Knowledge-Based Systems, 2017 (IF4.529) 通讯作者

4Q LiuZ HeH WangC Zhang*, A multi-view model for visual tracking via correlation filters, Knowledge-Based Systems, 2016, 113:88-99. SCI JCR 2, (2016) (IF:3.325).

5Zhang CK, Hu H, Ant Colony Optimization Combining with Mutual Information for Feature Selection in Support Vector Machines. Lecture Notes of Artificial Intelligence, vol. 3809, p. 918-921, Springer-Verlag, 2005. (SCI收录IDS Number: BDW41,被引用次数:21)

6) Zhang CK, Hu H, An Effective Feature Selection Scheme via Genetic Algorithm Using Mutual Information, Lecture Notes of Artificial Intelligence, vol. 3614, p. 73-80, Springer-Verlag, 2005. (SCI&EISCI收录IDS Number: BDA17, EI收录号:05439439716,被引用次数:4)

7) Zhang CK, Hu H, An Evolved Recurrent Neural Network and Its Application. Lecture Notes in Computer Science, v. 3610, p. 91-100, Springer-Verlag, 2005. (SCI收录IDS Number: BDA22, 被引用次数:2)

8) Zhang CK, Hu H, Feature selection in SVM based on the hybrid of enhanced genetic algorithm and mutual information. Lecture Notes of Artificial Intelligence, vol. 3885, p. 307-316, Springer-Verlag, 2006. (SCI收录IDS Number: BEF39)

 

会议论文及发表演说

1) Chunkai Zhang, Huihe Shao, Yu Li, Particle swarm optimisation for evolving artificial neural network, Systems, Man, and Cybernetics, 2000 IEEE International Conference on. (EI, 被引用次数:191)

2) Feature selection using the hybrid of ant colony optimization and mutual information for the forecaster. Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on. (EI, 被引用次数:45)

3) Chunkai Zhang, Pengfei Jia, A new sampling approach for classification of imbalanced data sets with high density. Big Data and Smart Computing (BIGCOMP), 2014 International Conference on (EI, 被引用次数:10)

4) Lu junru, zhang chunkai. “A Classification Method Of Imbalanced Data Base On PSO Algorithm”Communications in Computer and Information Science, 2016. .(EI) CCIS(被引用次数:1

5) Zechao Liu, Zoe L. Jiang, Xuan Wang, S.M. Yiu, Chunkai Zhang* and Xiaomeng Zhao, Dynamic Attribute-Based Access Control in Cloud Storage Systems, IEEE TrustCom-16, 2016. (CCF C)

6) Chunkai Zhang*, Guoquan Wang, Lin Yao, Zoe L Jiang, Liao Qing, Xuan Wang, A new Approach for Imbalanced Data Classification Based on Minimize Loss Learning, 2017 IEEE International Conference on Data Science in Cyberspace (DSC 2017)

7) Chunkai Zhang, Haodong liu, Lin Yao, Time series discord discovery under Multi-party Privacy Preserving. 2017 IEEE International Conference on Data Science in Cyberspace (DSC 2017)

8) Chunkai Zhang, Xudong Zhang, An approximate approach to frequent itemset mining. 2017 IEEE International Conference on Data Science in Cyberspace (DSC 2017)

9) Zhang Chunkai, Jiang Jiayao. "THE RESEARCH OF HUMAN ACTIVITY STATE RECOGNITION BASE ON ACCELEROMETERS" The 2016 World Congress in Computer Science, Computer Engineering, & Applied Computing(WordComp'16), The International Conference on Health Informatics and Medical SystemsHIM),2016,7 (EI)

10) Zhang Chunkai, Jiang Jiayao. “Research on Approach for Classification of Within Imbalanced Data Sets”The 17th International Conference on Bioinformatics & Computational Biology(BIOCOMP'16: July 25-28, 2016. (EI)

11) Zhang Chunkai, Sun yaqi. “Mining Dynamic Association Rules from Multiple Time-Series”, IEEE Information Management,Electronic and Automation Control Conference,2016. (EI)

12Zhang Chunkai, Yin ao, "BOFE: Anomaly Detection in Linear Time Based on Feature Estimation", 2018 IEEE International Conference on Data Mining, workshop, 2018.

 

任教和任导师经历

 

哈工大深圳研究生院计算机科学与技术学院  1. 任课

1)《现代优化方法》

2)《嵌入式软件计算》

3)《高级语言程序设计》

4)《数字逻辑设计》

2. 学生情况:

每年招收硕士研究生3-4名,目前在读研究生为12人,学生就业单位有百度、360、京东、腾讯、搜狗、华为、中兴、美团及自主创业等。

3. 学生获奖

1)优秀硕士研究生金牌

2) 中国计算机学会创业大赛特等奖

2)全国研究生数学建模大赛二等奖

3)第十三届全国人机交互学术会议人机交互与人工智能创新创业大赛优秀创新项目奖

4)全国青年人工智能创新创业大会 三等奖

 

× Academic S Admissions